Operations Management Simulation: Quality Analytics

Operations Management Simulation: Quality Analytics

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In this single-player simulation, students learn how to manage quality in service, health care, and manufacturing settings through the use of analytics related to statistical process control, process capability, and the cost of quality. Students play four different challenges that ask them to calculate control limits, use control limits in real time to maintain control of a process, analyze control charts post hoc to determine whether a process is capable, and make managerial investments in preventive measures that contribute to the cost of quality in order to minimize the total cost of quality. In order to play the simulation, students are expected to have basic knowledge about the purpose of control charts, calculation of control limits for X-bar and R charts, interpretation of control charts, and process capability.

Company: Harvard Business Publishing

Approximate price: $15.00

Playtime: 1 hour

Learning objectives: 1. A review of essential calculations in SPC, including control limits and process capability index 2. How to use statistical process control in real time to make go/no go decisions about a process 3. The difference between a process that is in control and a process that is capable, through post hoc analysis of a control chart 4. The relationship between Internal Failure Costs, External Failure Costs, Appraisal Costs and Prevention Costs and how they contribute to the total cost of quality.

Link to simulation home page: https://hbsp.harvard.edu/product/4404-HTM-ENG

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